https://github.com/carlosholivan/symbolic-music-structure-analysis
https://github.com/carlosholivan/symbolic-music-structure-analysis
Science Score: 10.0%
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Low similarity (3.3%) to scientific vocabulary
Last synced: 9 months ago
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- Host: GitHub
- Owner: carlosholivan
- Language: Python
- Default Branch: master
- Size: 2.21 MB
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Created over 3 years ago
· Last pushed about 3 years ago
https://github.com/carlosholivan/symbolic-music-structure-analysis/blob/master/
# SYMBOLIC MUSIC STRUCTURE ANALYSIS This repository contains the code to replicate the results of the paper: [Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods](https://arxiv.org/abs/2303.13881). ## Requirements ``` musicaiz==0.1.0 ``` ## Files in this repository `bps_midi.py`: converts the BPS notes.csv files in MIDI files. `graph_figure1.py`: prepares a figure with a BPS file in which the novelty cursve of the graph adjajency matrix is shown with structure annotations and predictions per level. `figure_ssm.py`: prepares a figure with a BPS file in which the boundary candidates and SSM with novelty curve are shown for Norm algorithm. `dataset_analysis.py`: gets the analytics of the SWD and BPS datasets. Code for reproducibility: - `graph_bps.py` - `norm_bps.py` - `graph_swd.py` - `norm_swd.py` ## Authors - Carlos Hernandez-Olivan - Sonia Rubio Llamas
Owner
- Name: Carlos Hernández Oliván
- Login: carlosholivan
- Kind: user
- Location: Zaragoza, Spain
- Company: Universidad de Zaragoza
- Website: carlosholivan.github.io
- Twitter: carlosheroliv
- Repositories: 7
- Profile: https://github.com/carlosholivan
PhD student researching in Machine Learning and Music.
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